Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Gai, Yuhang"'
Robotic force-based compliance control is a preferred approach to achieve high-precision assembly tasks. When the geometric features of assembly objects are asymmetric or irregular, reinforcement learning (RL) agents are gradually incorporated into t
Externí odkaz:
http://arxiv.org/abs/2211.02443
Local Connection Reinforcement Learning Method for Efficient Control of Robotic Peg-in-Hole Assembly
Traditional control methods of robotic peg-in-hole assembly rely on complex contact state analysis. Reinforcement learning (RL) is gradually becoming a preferred method of controlling robotic peg-in-hole assembly tasks. However, the training process
Externí odkaz:
http://arxiv.org/abs/2210.13255
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part F
Reinforcement learning (RL) is always the preferred embodiment to construct the control strategy of complex tasks, like asymmetric assembly tasks. However, the convergence speed of reinforcement learning severely restricts its practical application.
Externí odkaz:
http://arxiv.org/abs/2104.04078
This paper aims at solving mass precise peg-in-hole assembly. First, a feature space and a response space are constructed according to the relative pose and equivalent forces and moments. Then the contact states are segmented in the feature space and
Externí odkaz:
http://arxiv.org/abs/2103.16003
Publikováno v:
In Engineering Applications of Artificial Intelligence March 2024 129
Publikováno v:
In Journal of Manufacturing Systems October 2022 65:362-377
Publikováno v:
In Measurement 1 December 2020 165
Publikováno v:
In Journal of Manufacturing Systems October 2020 57:158-168
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